5 citations · 7 across the 3 of their papers we have counts for
3 papers
cs.CV2024
Quantifying and Enabling the Interpretability of CLIP-like Models
Avinash Madasu, Yossi Gandelsman, Vasudev Lal +1
CLIP is one of the most popular foundational models and is heavily used for many vision-language tasks. However, little is known about the inner workings of CLIP. To bridge this ga…
cs.LG2023★ 5 cited
COCO-Counterfactuals: Automatically Constructed Counterfactual Examples for Image-Text Pairs
Tiep Le, Vasudev Lal, Phillip Howard
Counterfactual examples have proven to be valuable in the field of natural language processing (NLP) for both evaluating and improving the robustness of language models to spurious…
cs.CV2023★ 2 cited
Probing Intersectional Biases in Vision-Language Models with Counterfactual Examples
Phillip Howard, Avinash Madasu, Tiep Le +2
While vision-language models (VLMs) have achieved remarkable performance improvements recently, there is growing evidence that these models also posses harmful biases with respect…